Like humans, machines learn from experience. They make observations from inputs of images, text, or other data, and then look for patterns. After the machine runs through the mathematical layers, it learns to make better decisions based on the examples it was given.

The magic of tensors comes from their special transformational properties that enable them to describe the same physics in all reference frames.

This column will focus on frameworks that work with NVIDIA’s TensorRT, a tool for deploying high-­performance deep neural networks.

Tammy Carter and Beau Paisley look at how serial algorithms can be evolved to scalable, multithreaded implementation using well-established high-performance computing (HPC) programming frameworks such as OpenMP and MPI.

Intel Xeon D is the first Xeon processor qualified for extended temperature ranges, offering more flexibility and higher performance than is typical for embedded products.

We look at how the recent introduction of Intel's first Xeon SoC device, the Xeon-D, dramatically changes the range of options for designers of high-performance SFF mission computers.

Steve Edwards looks at trusted computing solutions that carry effective protections against cyberattacks.

Marc Couture discusses how better coverage and real-time data analysis can be achieved with next-generation receiver technology.